Tip the Balance: Improving Exploration of Balanced Crossover Operators by Adaptive Bias
Tip the Balance: Improving Exploration of Balanced Crossover Operators by Adaptive Bias
The use of balanced crossover operators in Genetic Algorithms (GA) ensures that the binary strings generated as offsprings have the same Hamming weight of the parents, a constraint which is sought in certain discrete optimization problems. Although this method reduces the size of the search space, the resulting fitness landscape …